Senior Director of Data Science Engineering

HCSC (Health Care Service Corporation)

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILRichardson, TX
Salary
$161,500–$299,700 / yr
Posted
77 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k
This role $231k
$145k most similar roles pay here $316k

This role pays more than 56% of similar roles. Most pay $179,875–$262,829 — the shaded band above. At the midpoint, this role pays about $231k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About HCSC (Health Care Service Corporation)

HCSC (Health Care Service Corporation) is the largest customer-owned health insurer in the United States, operating Blue Cross and Blue Shield plans in Illinois, Montana, New Mexico, Oklahoma, and Texas. Industry: Health Insurance

HCSC (Health Care Service Corporation) currently has 13 open roles on FindRole.

Listed pay typically runs $102,000–$184,300 across 13 roles with salary data.

Most-posted roles

View all roles at HCSC (Health Care Service Corporation)

At a glance

TL;DR · Senior Director of Data Science Engineering

The Sr. Director of Data Science Engineering joins the Data Science & AI Solutions team to lead a group of machine learning engineers in operationalizing AI and machine learning solutions at scale. This leader will develop strategic plans, oversee budgets, and manage the full lifecycle of model deployment, including MLOps practices, CI/CD pipelines, monitoring, and reliability for both traditional ML and generative AI systems. The role involves architecting secure infrastructure on cloud platforms while ensuring code quality, automated testing, and responsible AI principles. Key technical requirements include proficiency in Python, version control, and containerization tools like Docker and Kubernetes. Candidates should possess expertise in LLMOps, RAG architectures, vector databases, and cloud-native services like SageMaker or Databricks to solve complex problems within the healthcare domain while integrating solutions into enterprise systems.

What you'll do

  • Develop and implement strategic plans for the Data Science Engineering function aligned with organizational goals.
  • Lead a team of machine learning engineers to design and operationalize scalable AI/ML solutions.
  • Establish and evolve MLOps practices including CI/CD pipelines, model deployment, and monitoring for generative AI systems.
  • Architect and oversee secure, reliable infrastructure for model training and inference on cloud platforms.
  • Drive engineering best practices such as code quality, automated testing, and responsible AI principles.
  • Partner with IT and data engineering teams to integrate AI solutions into enterprise workflows.
  • Recruit, develop, and evaluate personnel to ensure efficient team operations.
  • Manage the department budget and perform cost-benefit analyses to justify investments.

What we're looking for

  • Bachelor's degree with 7 years of experience, Master's with 6 years, or Ph.D. with 4 years in a computer science or engineering field.
  • Minimum of 4 years of management or leadership experience.
  • Proficiency in at least five and mastery in one of: software engineering, ML development, MLOps/CI/CD, Python, generative AI, or healthcare knowledge.
  • Experience delivering or leading machine learning engineering solutions for complex analytics projects.
  • Ability to manage annual budgets and perform cost-benefit analyses for business cases.
  • Strong interpersonal, verbal, and written communication skills with a customer-focused mindset.
  • Knowledge of agile development practices and responsible AI principles.
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes.

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